Development of an EOG (Electro-Oculography) Based Human-Computer Interface

We designed an inexpensive user computer interface for helping the disabled persons to communicate with their caretakers, which is based on EOG (electro-oculography) signals rather than the very expensive reflectance based methods. EOG signals of different eye movement patterns are analyzed with the LOS guiding setting constructed ourselves. An effective eye movement pattern is found to control the computer. Testing conducted on 12 subjects show that this system is remarkably accurate, easy to operate and reliable

[1]  Eberhart Zrenner,et al.  Standard for clinical electroretinography , 1989, Documenta Ophthalmologica.

[2]  B. Bridgeman.  Conscious vs Unconscious Processes , 1992 .

[3]  G. Pfurtscheller,et al.  EEG-based neuroprosthesis control: A step towards clinical practice , 2005, Neuroscience Letters.

[4]  Arie E. Kaufman,et al.  An eye tracking computer user interface , 1993, Proceedings of 1993 IEEE Research Properties in Virtual Reality Symposium.

[5]  M. Marmor,et al.  Standard for clinical electro-oculography , 1993, Documenta Ophthalmologica.

[6]  John G. Webster,et al.  Medical Instrumentation: Application and Design , 1997 .

[7]  Shinjiro Kawato,et al.  Detection and tracking of eyes for gaze-camera control , 2004, Image Vis. Comput..

[8]  Juno Kim,et al.  A simple pupil-independent method for recording eye movements in rodents using video , 2004, Journal of Neuroscience Methods.

[9]  Carlos Hitoshi Morimoto,et al.  Eye gaze tracking techniques for interactive applications , 2005, Comput. Vis. Image Underst..

[10]  Kelly Morris,et al.  Mind moves onscreen: brain-computer interface comes to trial , 2004, The Lancet Neurology.

[11]  Qiang Ji,et al.  Special issue: eye detection and tracking , 2005, Comput. Vis. Image Underst..